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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 10032
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    Explanations

    years and time periods

    oai_token-act-pair · gpt-3.5-turbo

    references to specific decades and century time periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bearer
    -0.67
     Chemistry
    -0.65
     physic
    -0.60
     bet
    -0.60
    yna
    -0.59
     bets
    -0.59
     CCTV
    -0.58
     spat
    -0.58
     apt
    -0.58
     Medals
    -0.56
    POSITIVE LOGITS
    ixties
    1.23
    ties
    1.00
    artment
    0.96
    ugh
    0.86
    xual
    0.84
    insula
    0.84
    hower
    0.82
    imester
    0.82
    inth
    0.81
    nings
    0.80
    Activations Density 0.068%

    No Known Activations